NDLI: Integration of Multiple Shape Features for Human Detection in Videos

Content Provider	IEEE Xplore Digital Library
Author	Liang-Hua Chen Pei-Chieh Lee Li-Yun Wang Hong-Yuan Liao
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Fu Jen Univ., Hsinchuang, Taiwan (Liang-Hua Chen; Pei-Chieh Lee; Li-Yun Wang) \|\| Inst. of Inf. Sci., Taipei, Taiwan (Hong-Yuan Liao)
Abstract	In this paper, we propose an integrated approach for human detection in surveillance video. In our approach, the moving object is extracted by background subtraction, and the background model is updated by the first order recurrence filter. Then, two complementary shape features are extracted for moving object classification. They are contour-based description: Fourier descriptor and region-based description: histogram of oriented gradient. As the binary classifier (support vector machine) is able to provide the posterior probability, we effectively integrate two types of features to achieve better performance. Experimental results show that the proposed approach is effective and outperforms some existing technique.
Starting Page	423
Ending Page	426
File Size	515044
Page Count	4
File Format	PDF
e-ISBN	9781479953905
DOI	10.1109/IIH-MSP.2014.112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-27
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines shape representation Histograms Shape support vector machines human detection Feature extraction Vectors surveillance video Pattern recognition Videos
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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